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Link COCO-OLAC, Cityscapes-OLAC, and PEMOLA resources

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  1. README.md +9 -1
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@@ -5,6 +5,7 @@ tags:
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  - occlusion
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  - icme-2026
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  datasets:
 
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  - weiwb/Cityscapes-OLAC
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  ---
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  Official checkpoints for **[Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention](https://huggingface.co/papers/2607.18112)** (ICME 2026).
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- Cityscapes-OLAC image-level occlusion annotations are available in the **[dataset repository](https://huggingface.co/datasets/weiwb/Cityscapes-OLAC)**. Original Cityscapes images must be obtained separately from the [official website](https://www.cityscapes-dataset.com/downloads/).
 
 
 
 
 
 
 
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  ## Download
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  - occlusion
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  - icme-2026
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  datasets:
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+ - weiwb/COCO-OLAC
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  - weiwb/Cityscapes-OLAC
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  ---
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  Official checkpoints for **[Occlusion-Aware Panoptic Segmentation with Joint Position Embedding and Occlusion-Level Attention](https://huggingface.co/papers/2607.18112)** (ICME 2026).
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+ ## Related resources
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+
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+ | Resource | What it provides |
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+ |:---------|:-----------------|
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+ | [COCO-OLAC dataset](https://huggingface.co/datasets/weiwb/COCO-OLAC) | Image-level occlusion annotations for 30,000 COCO training images and 5,000 validation images, including validation subsets by occlusion level. |
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+ | [Cityscapes-OLAC dataset](https://huggingface.co/datasets/weiwb/Cityscapes-OLAC) | Image-level occlusion annotations for 2,975 Cityscapes training images and 500 validation images, following the same annotation protocol. |
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+ Both dataset repositories provide additional occlusion annotations. Obtain the original images and segmentation annotations separately from the [official COCO website](https://cocodataset.org/#download) and the [official Cityscapes website](https://www.cityscapes-dataset.com/downloads/).
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  ## Download
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